summarizeSensitivityProfiles-PharmacoSet-method: Takes the sensitivity data from a PharmacoSet, and summarises...

In PharmacoGx: Analysis of Large-Scale Pharmacogenomic Data

Description

This function creates a table with cell lines as rows and drugs as columns, summarising the drug senstitivity data of a PharmacoSet into drug-cell line pairs

Usage

## S4 method for signature 'PharmacoSet'
summarizeSensitivityProfiles(
  object,
  sensitivity.measure = "auc_recomputed",
  cell.lines,
  drugs,
  summary.stat = c("mean", "median", "first", "last", "max", "min"),
  fill.missing = TRUE,
  verbose = TRUE
)

Arguments

object	[PharmacoSet] The PharmacoSet from which to extract the data
sensitivity.measure	[character] which sensitivity sensitivity.measure to use? Use the sensitivityMeasures function to find out what measures are available for each object.
cell.lines	character The cell lines to be summarized. If any cell lines has no data, it will be filled with missing values
drugs	character The drugs to be summarized. If any drugs has no data, it will be filled with missing values
summary.stat	character which summary method to use if there are repeated cell line-drug experiments? Choices are "mean", "median", "first", or "last"
fill.missing	boolean should the missing cell lines not in the molecular data object be filled in with missing values?
verbose	Should the function print progress messages?

Value

[matrix] A matrix with cell lines going down the rows, drugs across the columns, with the selected sensitivity statistic for each pair.

Examples

data(GDSCsmall)
GDSCauc <- summarizeSensitivityProfiles(GDSCsmall, sensitivity.measure='auc_published')

PharmacoGx documentation built on Feb. 28, 2021, 2 a.m.